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Institution

University of Oviedo

EducationOviedo, Spain
About: University of Oviedo is a education organization based out in Oviedo, Spain. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 13423 authors who have published 31649 publications receiving 844799 citations. The organization is also known as: Universidá d'Uviéu & Universidad de Oviedo.


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01 Jan 2005
TL;DR: In this paper, a classification of currency crisis consequences based on the entropic analysis of a macroeconomic variable uniquely, without any further assumption, is proposed, and the entropy information carried by the real exchange rate time series serves to order the sampled countries.
Abstract: We propose a classification of currency crisis consequences based on the entropic analysis of a macroeconomic variable uniquely, without any further assumption. The entropy information carried by the real exchange rate time series serves to order the sampled countries. We show that this ranking is highly correlated with the annual minimum growth of gross domestic product, a proxy used to quantify real currency crisis effects. We compare this criterion against that most currently used, variance based methodology. In addition, cross-country correlations support the hierarchical ordering based on the entropic criterion.

215 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2122 moreInstitutions (140)
TL;DR: In this article, the normalized differential cross section for top quark pair (tt) production is measured in pp collisions at a centre-of-mass energy of 8TeV at the CERN LHC using the CMS detector in data corresponding to an integrated luminosity of 19.7fb^(−1).
Abstract: The normalized differential cross section for top quark pair (tt) production is measured in pp collisions at a centre-of-mass energy of 8TeV at the CERN LHC using the CMS detector in data corresponding to an integrated luminosity of 19.7fb^(−1). The measurements are performed in the lepton+jets (e/μ +jets) and in the dilepton (e^+e^−, μ^+μ^−, and e^±μ^∓) decay channels. The tt cross section is measured as a function of the kinematic properties of the charged leptons, the jets associated to b quarks, the top quarks, and the tt system. The data are compared with several predictions from perturbative quantum chromodynamic up to approximate next-to-next-to-leading-order precision. No significant deviations are observed relative to the standard model predictions.

215 citations

Journal Article
TL;DR: Encoding and expression analysis revealed that matrilysin-2 is detected not only in placenta and uterus but is widely expressed in malignant tumors from different sources as well as in diverse tumor cell lines, suggesting that it may play a role in some of the tissue-remodeling events associated with tumor progression.
Abstract: We have identified a human placenta cDNA coding for a new member of the matrix metalloproteinase (MMP) family. The isolated cDNA encodes a polypeptide of 261 amino acids, the smallest MMP identified to date, which contains several structural features of MMPs including the signal sequence, the prodomain involved in enzyme latency, and the catalytic domain with the zinc-binding site. However, it lacks the hinge region and hemopexin-domain present in most MMPs. According to these structural characteristics, the human MMP described herein has been called matrilysin-2 (MMP-26), because it exclusively shares with matrilysin this minimal domain organization required for secretion, latency, and activity. The amino acid sequence of matrilysin-2 also contains a threonine residue adjacent to the Zn-binding site that has been defined as a specific feature of matrilysin. Chromosomal location of the matrilysin-2 gene showed that it maps to the short arm of chromosome 11, a location distinct to that of other MMP genes. Matrilysin-2 was expressed in Escherichia coli, and, after purification and refolding, the recombinant protein was found to degrade synthetic substrates commonly used for assaying MMPs. Furthermore, this protein hydrolyzed type IV collagen, fibronectin, fibrinogen, and gelatin, which indicated that matrilysin-2 is a potent enzyme with a wide substrate specificity. In addition, it was found that matrilysin-2 is able to activate progelatinase B. Proteolytic activity of matrilysin-2 against all of these substrates was abolished by synthetic inhibitors and by tissue inhibitors of metalloproteinases. Expression analysis revealed that matrilysin-2 is detected not only in placenta and uterus but is widely expressed in malignant tumors from different sources as well as in diverse tumor cell lines. These data together with its broad spectrum of proteolytic activity, suggest that matrilysin-2 may play a role in some of the tissue-remodeling events associated with tumor progression.

214 citations

Journal ArticleDOI
29 Jun 2016-Heredity
TL;DR: This work reviews the developments in predictive equations and estimation methodologies of effective size, and discusses some underdeveloped areas in predicting and estimating Ne for future research.
Abstract: Effective population size (Ne) is a key parameter in population genetics. It has important applications in evolutionary biology, conservation genetics and plant and animal breeding, because it measures the rates of genetic drift and inbreeding and affects the efficacy of systematic evolutionary forces, such as mutation, selection and migration. We review the developments in predictive equations and estimation methodologies of effective size. In the prediction part, we focus on the equations for populations with different modes of reproduction, for populations under selection for unlinked or linked loci and for the specific applications to conservation genetics. In the estimation part, we focus on methods developed for estimating the current or recent effective size from molecular marker or sequence data. We discuss some underdeveloped areas in predicting and estimating Ne for future research.

214 citations

Journal ArticleDOI
TL;DR: It is shown that embryogenesis‐associated mouse RGC differentiation depends on mitophagy, the programmed autophagic clearance of mitochondria, which contributes to cellular differentiation in several distinct developmental contexts.
Abstract: Retinal ganglion cells (RGCs) are the sole projecting neurons of the retina and their axons form the optic nerve. Here, we show that embryogenesis-associated mouse RGC differentiation depends on mitophagy, the programmed autophagic clearance of mitochondria. The elimination of mitochondria during RGC differentiation was coupled to a metabolic shift with increased lactate production and elevated expression of glycolytic enzymes at the mRNA level. Pharmacological and genetic inhibition of either mitophagy or glycolysis consistently inhibited RGC differentiation. Local hypoxia triggered expression of the mitophagy regulator BCL2/adenovirus E1B 19-kDa-interacting protein 3-like (BNIP3L, best known as NIX) at peak RGC differentiation. Retinas from NIX-deficient mice displayed increased mitochondrial mass, reduced expression of glycolytic enzymes and decreased neuronal differentiation. Similarly, we provide evidence that NIX-dependent mitophagy contributes to mitochondrial elimination during macrophage polarization towards the proinflammatory and more glycolytic M1 phenotype, but not to M2 macrophage differentiation, which primarily relies on oxidative phosphorylation. In summary, developmentally controlled mitophagy promotes a metabolic switch towards glycolysis, which in turn contributes to cellular differentiation in several distinct developmental contexts.

214 citations


Authors

Showing all 13643 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Carlo Rovelli1461502103550
J. González-Nuevo144500108318
German Martinez1411476107887
Roland Horisberger1391471100458
Francisco Herrera139100182976
Javier Cuevas1381689103604
Teresa Rodrigo1381831103601
L. Toffolatti13637695529
Elias Campo13576185160
Gabor Istvan Veres135134996104
Francisco Matorras134142894627
Joe Incandela134154993750
Nikhil C. Munshi13490667349
Luca Scodellaro134174198331
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202396
2022268
20211,825
20201,913
20191,806
20181,721